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结构共变网络的全球组织来源于非典型种群中的分片皮层表面积

William Roseby¹, Chris Racey¹, Jamie Ward¹

¹School of Psychology, University of Sussex.

bioRxiv : the preprint server for biology

|November 24, 2025

概括

共感症和自闭症共享大脑组织模式,这表明它们具有类似的发育起源. 早期的精神病显示出不同的大脑网络属性,而焦虑和抑郁症与对照组相比变化很小.

科学领域:

神经科学是一个神经科学.
脑部成像脑部成像
发育神经科学的发展神经科学.

背景情况:

高级大脑组织特征揭示了大脑结构和经验之间的联系.
结构共变网络 (SCN) 分析大脑形态学的区域协调,以获得全球皮层洞察力.
在SCN分析中的方法不一致性阻碍了跨研究的比较.

研究的目的:

在各种神经发育条件下研究结构性共变性网络 (SCN) 的全球网络特性.
为了比较SCNs在共感,自闭症,早期精神病,和焦虑/抑郁与对照.
建立一个统一的方法框架来分析SCNs在各种人群中.

主要方法:

使用层次分类的人类结合体项目 (HCP) 图谱构建区域皮层表面积的SCN.
分析了全球网络属性,包括连接强度和复杂性.
在不同患者组 (共感,自闭症,早期精神病,焦虑/抑郁症) 和年龄/性别匹配的对照组中比较了网络特性.
在两个独立的数据集中验证了自闭症和抑郁症的发现.

主要成果:

交感和自闭症SCN在全球范围内表现出更强的连接性和更低的网络复杂性.
早期精神病SCN显示全球连接性较弱,复杂性更高.
焦虑和抑郁症SCN显示与对照组的差异微不足道.
在数据集中复制证实了自闭症和抑郁症的发现.

结论:

共感症和自闭症可能共享潜在的神经发育机制.
早期精神病可能涉及不同的神经发育过程.
该研究提供了一个强大的方法框架,用于在各种条件下进行比较性SCN分析.
研究结果强调了SCN在理解神经发育变异方面的有用性.

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